药品不良反应信号检测方法研究

Study of Adverse Drug Reaction Signal Detection

目的:探索适合我国的药品不良反应(ADR)信号检测方法。方法:检索各种ADR信号检测方法有关文献,对其进行研究、分析和比较。结果:目前各国普遍使用的信号检测方法主要有频数法和贝叶斯法,前者主要有比例报告比法、报告比值比法、MHRA法等,后者包括贝叶斯判别可信区间递进神经网络模型与相对比值法等。结论:建议我国信号检测的实施综合采用BCPNN、PRR、ROR、MHRA等多种方法。

Objective：To probe into detection methods for adverse drug reaction （ADR） signals in China. Method： Literatures concerning ADR signal detection methods were reviewed for further analysis and comparison. Results：Frequency method and Bayesian method were the two main data mining algorithms used in pharmacovigilance in various countries now- adays. The former includes proportional reporting ratio （PRR）, reporting odds ratio （ROR） and MHRA and the latter ineludes Bayesian Confidence Propagation Neural Network （BCPNN） and relative rate （RR）. Conclusion： It is suggested that BCPNN, PRR, ROR and MHRA should be used in the signal detection integTatedly.